AiDotNet Claude/fix issue 417 chain of thought 011 c uu sh u85 jd b ngn qq2dc1 j

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Nov 12 '25 15:11 ooples

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📥 Commits

Reviewing files that changed from the base of the PR and between 373bff666f66091d2a2ef24c4f73b1a75766c5c0 and 5c91e07c4cfca13bc919359a5c2a171b962ac4aa.

📒 Files selected for processing (16)

docs/ReasoningFrameworkGuide.md (1 hunks)

docs/reasoning/GettingStarted.md (1 hunks)

docs/reasoning/Tutorials.md (1 hunks)

src/Interfaces/IAnswerAggregator.cs (1 hunks)

src/Interfaces/IContradictionDetector.cs (1 hunks)

src/Interfaces/ICriticModel.cs (1 hunks)

src/Interfaces/IDiversitySampler.cs (1 hunks)

src/Interfaces/IExternalToolVerifier.cs (1 hunks)

src/Interfaces/IPredictionModelBuilder.cs (2 hunks)

src/Interfaces/IReasoner.cs (1 hunks)

src/Interfaces/IReasoningStrategy.cs (1 hunks)

src/Interfaces/IRewardModel.cs (1 hunks)

src/Interfaces/ISearchAlgorithm.cs (1 hunks)

src/Interfaces/ISelfRefinementEngine.cs (1 hunks)

src/Interfaces/IThoughtEvaluator.cs (1 hunks)

src/Interfaces/IThoughtGenerator.cs (1 hunks)

Summary by CodeRabbit

New Features

Added comprehensive reasoning framework with multiple strategies for multi-step problem solving.
Introduced domain-specific reasoners for mathematics, code generation, scientific reasoning, and logical analysis.
Added 13+ benchmarks (GSM8K, MATH, MMLU, HumanEval, etc.) for evaluating reasoning performance.
Enabled reinforcement learning training with configurable reward models and checkpointing.
Added self-refinement and verification capabilities for improving reasoning quality.

Documentation

Published getting started guide, best practices, and five detailed tutorials with code examples.
Added reasoning framework architecture documentation and troubleshooting resources.

Examples

Included working example applications for math solving, code generation, benchmarking, and training workflows.

Walkthrough

Adds a complete Reasoning Framework: documentation, examples, many new public interfaces and models, three reasoning strategies (CoT, Self‑Consistency, ToT) with search algorithms and components, verification/refinement and reward models, numerous benchmarks and data loaders, RL training tooling, and cancellation support for language-model APIs.

Changes

Cohort / File(s)	Summary
Documentation & Tutorials `docs/ReasoningFrameworkGuide.md`, `docs/reasoning/GettingStarted.md`, `docs/reasoning/BestPractices.md`, `docs/reasoning/Tutorials.md`	New comprehensive guide, getting-started, best-practices, and tutorials covering strategies, presets, advanced usage, architecture, benchmarks, and examples.
Examples & Demo `examples/Program.cs`, `examples/ConcreteExamples/*`	New console demo and runnable examples: `Program.cs`, `MathSolverExample.cs`, `CodeGenerationExample.cs`, `BenchmarkRunnerExample.cs`, `TrainingExample.cs`.
Public Interfaces `src/Interfaces/*`	Added many interfaces and DTOs (e.g., `IReasoningStrategy<T>`, `IBenchmark<T>`, `IThoughtGenerator<T>`, `IThoughtEvaluator<T>`, `ISearchAlgorithm<T>`, `ICriticModel<T>`, `IRewardModel<T>`, `IContradictionDetector<T>`, `IAnswerAggregator<T>`, `IDiversitySampler<T>`, `IExternalToolVerifier<T>`, `ISelfRefinementEngine<T>`). Updated `IChatModel<T>.GenerateResponseAsync` to accept CancellationToken.
Core Models & Config `src/Reasoning/Models/`, `src/Reasoning/Benchmarks/Models/`	Added `ReasoningConfig`, `ReasoningResult<T>`, `ReasoningChain<T>`, `ReasoningStep<T>`, `ThoughtNode<T>`, and benchmark model types (`BenchmarkProblem`, `BenchmarkResult<T>`, `ProblemEvaluation<T>`).
Strategy Base & Strategies `src/Reasoning/ReasoningStrategyBase.cs`, `src/Reasoning/Strategies/*`	New abstract `ReasoningStrategyBase<T>` and strategies: `ChainOfThoughtStrategy<T>`, `SelfConsistencyStrategy<T>`, `TreeOfThoughtsStrategy<T>` (ToT supports generator/evaluator and selectable search algorithms).
Search Algorithms `src/Reasoning/Search/*`	New search algorithms implementing `ISearchAlgorithm<T>`: `BreadthFirstSearch<T>`, `DepthFirstSearch<T>`, `BestFirstSearch<T>`, `BeamSearch<T>`, `MonteCarloTreeSearch<T>`.
Components `src/Reasoning/Components/*`	New components: `ThoughtGenerator<T>`, `ThoughtEvaluator<T>`, `ContradictionDetector<T>`, `DiversitySampler<T>`.
Aggregation & Scaling `src/Reasoning/Aggregation/`, `src/Reasoning/ComputeScaling/`	Added aggregators `MajorityVotingAggregator<T>`, `WeightedAggregator<T>`, and `AdaptiveComputeScaler`.
Verification, Critics & Reward `src/Reasoning/Verification/*`	New verification and evaluation modules: `CalculatorVerifier<T>`, `CodeExecutionVerifier<T>` (+ result types), `CriticModel<T>`, `ProcessRewardModel<T>`, `OutcomeRewardModel<T>`, `HybridRewardModel<T>` (+ `RewardBreakdown<T>`), `SelfRefinementEngine<T>`.
Benchmarks & Data Loaders `src/Reasoning/Benchmarks/`, `src/Reasoning/Benchmarks/Data/`	Many benchmark implementations (GSM8K, MATH, MMLU, HumanEval, MBPP, HellaSwag, ARC‑AGI, BoolQ, TruthfulQA, LogiQA, DROP, CommonsenseQA, PIQA, WinoGrande) plus `GSM8KDataLoader`, `HumanEvalDataLoader`.
Training & RL `src/Reasoning/Training/*`	RL/training stack: `PolicyGradientTrainer<T>`, `ReinforcementLearner<T>`, `RLConfig`, `TrainingDataCollector<T>`, `TrainingSample<T>`, training metrics, checkpointing and STaR helpers.
Language Models & Cancellation `src/LanguageModels/*`, `src/LanguageModels/ChatModelBase.cs`	Added CancellationToken propagation: `IChatModel<T>.GenerateResponseAsync`, `ILanguageModel<T>.GenerateAsync`, `ChatModelBase<T>.GenerateAsync/GenerateAsyncCore`, and updated model implementations (`AnthropicChatModel`, `AzureOpenAIChatModel`, `OpenAIChatModel`) to accept cancellation.
Tests `tests/Reasoning/Benchmarks/BenchmarkTests.cs`, `tests/.../TreeOfThoughtsRetrieverTests.cs`	New benchmark unit tests and minor test cleanup.

Sequence Diagram(s)

sequenceDiagram
    participant Client as Client/App
    participant Strategy as Strategy (CoT / Self‑Consistency / ToT)
    participant Chat as IChatModel
    participant Search as ISearchAlgorithm
    participant Verifier as Verifier/Critic
    participant Refiner as SelfRefinement
    participant Aggreg as Aggregator

    Client->>Strategy: ReasonAsync(query, config)
    activate Strategy
    Strategy->>Chat: GenerateResponseAsync(prompt, token)
    Chat-->>Strategy: LLM response

    alt Tree‑of‑Thoughts
        Strategy->>Search: SearchAsync(root, generator, evaluator, config)
        activate Search
        loop exploration
            Search->>Chat: GenerateThoughtsAsync(...)
            Chat-->>Search: candidate thoughts
            Search->>Chat: EvaluateThoughtAsync(...)
            Chat-->>Search: scores
        end
        Search-->>Strategy: best path
        deactivate Search
    else Self‑Consistency
        Strategy->>Strategy: spawn N CoT samples (bounded concurrency)
        Strategy->>Chat: multiple GenerateResponseAsync calls
        Chat-->>Strategy: samples
        Strategy->>Aggreg: Aggregate(answers, confidences)
        Aggreg-->>Strategy: final answer
    end

    alt Verification enabled
        Strategy->>Verifier: VerifyStepAsync / CritiqueChainAsync
        Verifier-->>Strategy: verification / critiques
    end

    alt Refinement triggered
        Strategy->>Refiner: RefineChainAsync(chain, critic, config)
        Refiner->>Chat: refinement prompts
        Chat-->>Refiner: refined steps
        Refiner-->>Strategy: refined chain
    end

    Strategy-->>Client: ReasoningResult (FinalAnswer, Chains, Metrics)
    deactivate Strategy

Estimated code review effort

🎯 5 (Critical) | ⏱️ ~120 minutes

Areas needing extra attention:
- Search algorithms: MCTS selection/backpropagation, beam pruning, and path reconstruction correctness.
- Strategies: concurrency, LLM-call retries, JSON/text parsing fallbacks, resource/time budgeting.
- Verification & execution: expression parsing, sandboxing/timeouts for code execution, language detection.
- Reward & training: reward/advantage calculations, baseline updates, STaR selection logic, checkpoint serialization.
- Interface changes: IChatModel / ILanguageModel / ChatModelBase signature updates and propagation to implementations.

Possibly related PRs

ooples/AiDotNet#423 — Overlaps IChatModel.GenerateResponseAsync signature change adding CancellationToken; directly related at interface and ChatModelBase implementation level.
ooples/AiDotNet#426 — Appears to modify reasoning strategies and components; likely intersects on strategy/search/verification implementations.

Poem

🐇
I hop through prompts and branching trails,
I gather thoughts and balance scales.
I run the tests, then verify the code,
I polish chains and chart the road.
A crunchy carrot for each solved node.

Pre-merge checks and finishing touches

❌ Failed checks (3 warnings)

Check name	Status	Explanation	Resolution
Title check	⚠️ Warning	The title is a nonsensical string that does not accurately describe the changeset, which introduces comprehensive reasoning framework components.	Replace with a clear, descriptive title reflecting the actual changes, e.g., 'Implement AiDotNet Reasoning Framework with strategies, verification, and benchmarking.'
Description check	⚠️ Warning	The description is entirely a checklist template with no actual content describing what was changed, why, or how it relates to the changeset.	Complete the Summary section with concrete details about the changes made, objectives achieved, and implementation details relevant to the reasoning framework additions.
Docstring Coverage	⚠️ Warning	Docstring coverage is 77.91% which is insufficient. The required threshold is 80.00%.	You can run `@coderabbitai generate docstrings` to improve docstring coverage.

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Nov 12 '25 15:11 coderabbitai[bot]

@coderabbitai review

Nov 13 '25 06:11 ooples

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Review triggered.

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Nov 13 '25 06:11 coderabbitai[bot]

@coderabbitai full review

Nov 14 '25 04:11 ooples

✅ Actions performed

Full review triggered.

Nov 14 '25 04:11 coderabbitai[bot]